Integrating Data Mining Techniques and Design Information Management for Failure Prevention

Abstract

Stories of the recent failures in complex systems tell us that they could have been avoided if the right information was presented to the right person at the right time. We propose a method for fault detection of spacecrafts by mining association rules from house keeping data. We also argue that merely detecting anomalies is not enough for failure prevention. We present a framework of design information management in order to capture and use design rationale for failure prevention. We believe that the framework provides the basis for improved development process and effective anomaly handling.